# Wow! Teachable Machine heard my prayers! Now supporting Arduino Nano BLE 33

**URL:** <https://discuss.tinyml.seas.harvard.edu/t/wow-teachable-machine-heard-my-prayers-now-supporting-arduino-nano-ble-33/769>\
**Category:** General Discussions\
**Created:** [June 27, 2021, 3:20pm UTC](https://discuss.tinyml.seas.harvard.edu/t/wow-teachable-machine-heard-my-prayers-now-supporting-arduino-nano-ble-33/769 "2021-06-27T15:20:54Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![jhertz](https://yyz1.discourse-cdn.com/flex027/user_avatar/discuss.tinyml.seas.harvard.edu/jhertz/32/323_2.png) [@jhertz](https://discuss.tinyml.seas.harvard.edu/u/jhertz)\
**Post date:** [June 27, 2021, 3:20pm UTC](https://discuss.tinyml.seas.harvard.edu/t/wow-teachable-machine-heard-my-prayers-now-supporting-arduino-nano-ble-33/769/1 "2021-06-27T15:20:54Z")

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I’ve been positing in here about how to take a teachable machine model and put it on an Arduino. They must have heard my prayers because they’ve extended functionality explicitly for Arduino Nano BLE 33.

They software creates a model and modifies the person\_detection.ino script with your new model automatically for you. It’s really incredible and by far the easiest way to create a TinyML computer vision model!

Here’s the link: [teachablemachine-community/GettingStarted.md at master · googlecreativelab/teachablemachine-community · GitHub](https://github.com/googlecreativelab/teachablemachine-community/blob/master/snippets/markdown/tiny_image/GettingStarted.md)

thanks google!